Internet Of Things (IoT) Malayalam

Teacher

Course Description

This Specialization covers embedded systems, the NodeMCU Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers.

If you complete the video lectures then you will be given the Internship Certificate at the end of the Internship period. Completion of tasks,assignments is not mandatory.

What you’ll learn

Learn IoT and Concepts involved in IoT – Embedded Systems, Networking & Programming.
Getting MAC address, DHT-11 Data upload on cloud(Thingspeak), Weather Station (IOT)
Learn Role of NodeMCU in IoT, Serial interfacing, Digital Output taking on LED and Analog Output taken on LED.
Implement the communication between smart phones and home appliances.
Use Android Device to wirelessly control electrical outlets using relay switches in order to prevent wastage of electricity.
Build your own Home Automation device and app

Requirements

A Computer that has admin privileges
Have 1 GB of free space on your hard drive.
All software we’ll be using is free to download and install.
Node-Mcu

CERTIFICATION

The attendees , on successful completion of the course would be provided with the valued certificate from Enfono Technologies Pvt. Ltd. It will be serial numbered and emblazoned with licensed institutional logos.

Authenticity of the certificate can be verified by scanning QR code provided on the certificate.

LEARNING OUTCOMES

Attain a fundamental understanding of Artificial Intelligence and related skill sets
Core knowledge of neural networks
Understanding of the primary important concepts in Machine Learning, Deep Learning and Neural networks
Confidentially Apply for Artificial Intelligence based programming jobs.
Acquire the knowledge on convolution-al neural networks
A clear understanding on how to solve image classification problems by training convolution-al neural networks
Creating neural network models for various real life situations and problems
Creating convolution-al neural networks in Ker-as using AI : Neural Network training.
In depth basic knowledge on AI and create models from scratch
Learn the architecture, operation, and business benefits of the languages used.
Get information packed practical training starting from basics to advance techniques.

KEY FEATURES

Go through thorough and tried Lectures, assignments, assessments with a total 20 hours of content!
Experience live software project training in addition to practice to increase your skill set
Learn the core concepts in AI without any prior knowledge or exposure to any technical field.
This course is best suitable for not only beginners as well as advanced level users but also people who learn faster when demonstrated.
Course content has been thoroughly designed by considering current trend in technology and the job market.
Practical assignments at the end of every session to boost your practice.
Practical learning experience with live project work besides easy to understand as well as important examples.
Live interaction for doubt clearance .